One of the biggest challenges of the IT sector is employee retention (McKnight et al, 2009). Given that a lot of money is invested in employees, the managers of organizations try to prevent or reduce the rate of employee turnover. The intention to leave the organization (ILO) is considered a good predictor of actual leaving the organization, and job satisfaction (JS) and professional burnout (PB) are considered the most significant predictors of these intentions. According to the Theory of Work Demands and Resources (Demerouti and Bakker, 2011), JS and PB are created as products of work demands and/or resources. When examining ILO, it is important to capture some individual factors, such as passion for work. According to the model of Vallerand et al. (2010), work-related flow could be taken as the cognitive outcome of harmonious passion, which is also considered a personal resource that protects against symptoms of burnout and facilitates job satisfaction. Furthermore, work-related rumination is viewed as a product of obsessive passion for work, which represents a strategy for coping with work demands. Therefore, the purpose of this research was to examine the relationships between the cognitive outcomes of passion (rumination and flow related to work), JS, PB and ILO, and to examine a model that specifies their relationships. A total of 240 IT employees from different areas of work within the IT sector participated in the online survey, and they filled out the following questionnaires: Questionnaire of general data, Work-related Flow Inventory (Bakker, 2008), Work-related Rumination Scale (Cropley et al., 2012), Job Satisfaction Survey (Spector, 1985), The Oldenburg Burnout Inventory (Demerouti & Bakker, 2008) and the Turnover Intentions Scale (Konovsky & Cropanzano, 1991). Confirmatory factor analysis showed that the three-factor structure of the Work-related Rumination Scale provided an adequate fit to the data and had good psychometric characteristics. Regarding the relationships between the examined variables, it was found that all three facets of flow (absorption, enjoyment, intrinsic motivation) were positively related to intrinsic and extrinsic JS. Also, all three facets were negatively related to the dimensions of PB (disengagement and emotional exhaustion) and to ILO. Furthermore, in the context of rumination, there was a moderately high negative correlation between affective rumination and intrinsic and extrinsic JS and low positive correlation of detachment with intrinsic and extrinsic JS, while no correlation was found between thinking about problem solving and JS. There was a positive relationship between affective rumination and the dimensions of PB, while the relationship between detachment and these dimensions was negative, and thinking about solving problems was significantly related only to emotional exhaustion, negatively. Only the facet of affective rumination was significantly related to ILO, and the correlation was low and negative. Furthermore, greater satisfaction with pay, potential rewards, promotion opportunities, benefits, and job nature were associated with lower ILO. Higher levels of emotional exhaustion and disengagement were associated with higher ILO. In addition to the correlation analyses, a path analysis was also used and it was determined that a higher level of affective rumination contributes to a higher ILO through an increase in the level of PB, while a higher level of flow contributes to a lower ILO through a reduced level of PB. A higher level of flow contributes to lower ILO by increasing the level of JS, while a significant mediation role of JS in the connection between affective rumination and ILO was not determined. Higher levels of rumination contributes to increased levels of PB which further reduces JS, which contributes to increased ILO. Moreover, a higher level of flow contributes to an reduced level of PB, which further increases JS, and this contributes to reduced ILO. These results emphasize the value of flow as an individual resource and ways of coping with job demands. Therefore, further examination and integration of research is recommended to gain additional insight into the relationships of the observed variables.